Sequential Transfer in Reinforcement Learning with a Generative Model.
Andrea TirinzoniRiccardo PoianiMarcello RestelliPublished in: ICML (2020)
Keyphrases
- generative model
- reinforcement learning
- transfer learning
- probabilistic model
- em algorithm
- bayesian framework
- latent dirichlet allocation
- prior knowledge
- conditional random fields
- posterior probability
- semi supervised
- discriminative learning
- state space
- discriminative models
- machine learning
- function approximation
- markov decision processes
- optimal policy
- expectation maximization
- learning tasks
- temporal difference
- markov chain monte carlo
- reward function
- complex domains
- learned models
- supervised learning